Random Number Data Testing

Verify the integrity of a random number generator by running a series of tests to detect and report any non-random patterns in the data generated.

Statistical Hypothesis Testing

Compare your results with an alternative hypothesis, using appropriate tests, to ascertain whether they are significantly different from one another.

Multivariate Analysis

Analysis of more than one statistical outcome variable at a time, e.g. factor analysis.

Regression Analysis

A powerful statistical technique which allows analysis of the relationship between two or more variables, to see how the typical value of a variable of interest (the dependent variable) changes under the influence of other (independent) variables. Regression analysis can be extended to be used for prediction and causal inference.

Sampling

Design an efficient sampling scheme which provides the necessary level of precision.

CONTACT

TRAINING COURSES

R for Data Science
Aim: to introduce R to people who have to work with data and want to use R. The course concentrates on data organising, data visualising, and data reporting, all using only R.
FIND OUT MORE